Triple
T11997263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercutio |
E285562
|
entity |
| Predicate | sceneOfNotableSpeech |
P42955
|
FINISHED |
| Object | Act 1, Scene 4 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Act 1, Scene 4 | Statement: [Mercutio, sceneOfNotableSpeech, Act 1, Scene 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneOfNotableSpeech Context triple: [Mercutio, sceneOfNotableSpeech, Act 1, Scene 4]
-
A.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
B.
notableSpeechAssociated
chosen
Indicates that a notable or significant speech is associated with a particular entity, such as a person, event, or location.
-
C.
notableSpeechBy
Indicates that a particular speech or address is notably given or delivered by a specific entity.
-
D.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
E.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c172788190b92042e9d10a48bf |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.